Evidence map›Paper›PMID 32340350›Full record

ArticleMetabolites2020

The Urinary Metabolome of Healthy Newborns.

Yamilé López-Hernández, Juan José Oropeza-Valdez, Jorge O Blanco-Sandate, Ana Sofia Herrera-Van Oostdam, Jiamin Zheng, An Chi Guo, Victoria Lima-Rogel, Rahmatollah Rajabzadeh, Mariana Salgado-Bustamante, Jesus Adrian-Lopez and 5 more

Abstract read
In one paragraph

Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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  13. A LongitudinalMetabolites · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Yamilé López-HernándezCONACyT, Metabolomics and Proteomics Laboratory, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico.ORCID 0000-0002-1068-603X
Juan José Oropeza-ValdezUnidad de Investigación Biomédica de Zacatecas, Instituto Mexicano del Seguro Social, Zacatecas 98000, Mexico.ORCID 0000-0003-1093-9970
Jorge O Blanco-SandateCIACYT-Facultad de Medicina, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78210, Mexico.
Ana Sofia Herrera-Van OostdamBiochemistry Department, Faculty of Medicine, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78210, Mexico.
Jiamin ZhengThe Metabolomics Innovation Center, University of Alberta, Edmonton, AB T6G1C9, Canada.
An Chi GuoThe Metabolomics Innovation Center, University of Alberta, Edmonton, AB T6G1C9, Canada.
Victoria Lima-RogelHospital Central "Dr. Ignacio Morones Prieto", San Luis Potosí 78290, Mexico.ORCID 0000-0003-3144-6577
Rahmatollah RajabzadehThe Metabolomics Innovation Center, University of Alberta, Edmonton, AB T6G1C9, Canada.
Mariana Salgado-BustamanteBiochemistry Department, Faculty of Medicine, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78210, Mexico.
Jesus Adrian-LopezMicroRNAs Laboratory, Unidad Académica de Ciencias Biológicas, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico.ORCID 0000-0001-8012-7041
C G CastilloCIACYT-Facultad de Medicina, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78210, Mexico.
Emilia Robles ArguellesMicroRNAs Laboratory, Unidad Académica de Ciencias Biológicas, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico.
Joel Monárrez-EspinoHospital Christus Muguerza del Parque, Chihuahua 31000, Mexico.ORCID 0000-0002-0695-5356
Rupasri MandalThe Metabolomics Innovation Center, University of Alberta, Edmonton, AB T6G1C9, Canada.
David S WishartThe Metabolomics Innovation Center, University of Alberta, Edmonton, AB T6G1C9, Canada.ORCID 0000-0002-3207-2434

Funding

Consejo Nacional de Ciencia y Tecnología 290239Genome Canada and the Canada Foundation for Innovation Major Science Initiative (CFI-MSI) 35456
6 · The paper itself

Abstract

The knowledge of normal metabolite values for neonates is key to establishing robust cut-off values to diagnose diseases, to predict the occurrence of new diseases, to monitor a neonate's metabolism, or to assess their general health status. For full term-newborns, many reference biochemical values are available for blood, serum, plasma and cerebrospinal fluid. However, there is a surprising lack of information about normal urine concentration values for a large number of important metabolites in neonates. In the present work, we used targeted tandem mass spectrometry (MS/MS)-based metabolomic assays to identify and quantify 136 metabolites of biomedical interest in the urine from 48 healthy, full-term term neonates, collected in the first 24 h of life. In addition to this experimental study, we performed a literature review (covering the past eight years and over 500 papers) to update the references values in the Human Metabolome Database/Urine Metabolome Database (HMDB/UMDB). Notably, 86 of the experimentally measured urinary metabolites are being reported in neonates/infants for the first time and another 20 metabolites are being reported in human urine for the first time ever. Sex differences were found for 15 metabolites. The literature review allowed us to identify another 78 urinary metabolites with concentration data. As a result, reference concentration values and ranges for 378 neonatal urinary metabolites are now publicly accessible via the HMDB.

Indexed as

inborn errors of metabolismmetabolitesnewbornreference valuestandem mass spectrometry

Identifiers

PMID32340350
PMCPMC7240964

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.